Artificial intelligence-powered predictive tools to improve end-of-life decision-making: mini-review
AI-driven prognostic models show promise in improving risk identification and facilitating earlier engagement with palliative care. Nonetheless, the current evidence base is preliminary. Future research should include prospective trials and strengthened ethical frameworks to ensure that the integration of AI-based prognostic tools into end-of-life decision-making is both safe and equitable.
Authors
- Abdullah Alabbasi (ORCID: https://orcid.org/0000-0002-7793-7040)
- Mohammed Sayes
- Muhanad Alzahrani
- Faris Sultan
Institutions
- King Saud University (SA)
- University of Utah Hospital (US)
- Soliman Fakeeh Hospital (SA)
- University of Business and Technology (SA)
Publication Details
- Journal
- BMJ Supportive & Palliative Care
- Published
- 2026-02-18
- DOI
- https://doi.org/10.1136/spcare-2025-006066
- Primary Topic
- Palliative Care and End-of-Life Issues
- Type
- article
- Field-Weighted Citation Impact
- 0.00